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Data Engineer
3 months ago
Senior Data Engineers are responsible for delivering high quality modern data solutions through collaboration with our team and our customers.
Requirements (as much as possible, not all is mandatory)
Hands-on experience working at a high level in Data Engineer or combination.
Azure skills highly preferred, including provisioning, Configuring, and Developing solutions in Azure Synapse analytics.
Azure Data Factory, Azure Data Bricks etc.
In-depth understanding of database structure principles preferably with experience on performance troubleshooting.
Hands-on experience using Azure SQL Server, Postgre SQL, or similar RDBMS platform.
Distributed Data Processing of big data batch or streaming pipelines.
Construction of data science and machine learning research and production pipelines.
Familiarity with data visualization tools like Power BI
Data Modeling & strong analytics skills in Analytics.
Database migration from legacy systems to new solutions
Design conceptual, logical, and physical data models using tools like ER Studio, Erwin
Azure Dev Ops for configuring CI/CD pipelines for Azure Data Factory, Azure Data Bricks, Azure synapse analytics etc.,
Understanding of Data quality improvement and Master data management
Experience implementing data security and governance
Problem-solving attitude
Highly self‐motivated, self‐directed, and attentive to detail
Ability to effectively prioritize and execute tasks.
Additional Information
We would like to see a blend of the following skills, not all of these are required Azure Synapse Analytics
Azure Data Factory
Azure Data Lake
Azure Analysis Services
Databricks/Spark
Python (Python preferred)
Data Modeling
Power BI
Microsoft Purview
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